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Excellent !

Very well insights given and most important it applies to anyone who so ever it is . AI tool is the next big thing. Thanks for sharing.

God is watching you

Very insightful! Thanks for sharing these videos.

Your video quality presentation is so amazing but You are missing something while uploading the videos Due to this your video is not getting enough expos Your channel needs some updates to increase the views,,

Critique Strengths: Practical Insights: Suter’s emphasis on continuous learning being a manageable, integral part of a leader’s routine is realistic and motivational. Holistic Approach: She effectively highlights that tech leadership requires both technical expertise and people management skills, which many overlook. Relevance: The discussion on distinguishing between trends and long-term value, particularly in areas like AI, is timely and resonates with current challenges in tech leadership. Real-World Examples: Her anecdote about resolving a database issue lends credibility and clarity to her argument. Weaknesses: Limited Depth on Implementation: While she discusses the why and what of continuous learning, there is little detail on specific strategies or tools for implementation. Balancing Act Unclear: The discussion on avoiding chasing trends while prioritizing learning could benefit from more nuanced advice on how leaders can stay grounded without missing valuable opportunities. Potential Over-Emphasis on Technical Skills: Suter assumes that leaders need hands-on technical knowledge to gain respect, which may not always hold true, especially in larger organizations where leadership and vision often outweigh technical expertise. Work-Life Balance Contradiction: While advocating for work-life balance, Suter's suggestion of spending 30 minutes daily outside work hours on learning may still burden already overstretched leaders. Suggestions for Improvement: Provide concrete frameworks or tools (e.g., curated online courses, technical certification tracks, or leadership programs) that tech leaders can use to structure continuous learning. Explore alternative ways for leaders to stay connected to technical trends without requiring deep technical dives (e.g., relying on technical advisors or team collaborations). Acknowledge different organizational contexts and adapt her recommendations accordingly-for example, contrasting approaches for startups versus well-resourced enterprises like Google. Clarify how to balance time spent learning with other priorities without overburdening oneself or the organization. Suter’s discussion is insightful and relevant but would benefit from deeper exploration of practical, nuanced strategies for implementing continuous learning effectively.

This video presents some fascinating ideas about leadership, neuroscience, and value-driven strategies. I really appreciated the interdisciplinary approach and inspiring tone. However, I think it could benefit from a clearer structure and more real-world examples to make the concepts easier to follow and apply. Simplifying some of the jargon and defining terms like 'economics of mutuality' might also help reach a broader audience. Overall, it's a thought-provoking discussion that could be even stronger with these tweaks. - Good Job !

Really enjoyed this discussion and I'm looking forward to hearing how others are also addressing this issue!

Great points on low-hanging LLM applications! I’d add that unit testing and API-driven design/testing are particularly effective areas for LLM involvement, as it excels with consistent, repeatable patterns. Additionally, LLMs can be utilized for component-level test generation by leveraging robust lower-level test coverage. For example, starting with an OpenAPI spec can automate SuperTest/Jest API tests with stubs/mocks for high coverage, forming a strong baseline. To extend this, the same Jest tests can be adapted for component tests with tools like JSDOM, React Testing Library, or Cypress Component Testing. Modularizing these tests helps bridge API-level and UI testing efficiently. Then, following the test pyramid, we gradually incorporate more complex scenarios into E2E tests. While these are more challenging for LLMs, combining tools like Playwright or Cypress for browser-driven testing with LLM-guided locator strategies can improve resilience. This multi-layered approach lets us maximize LLM’s utility at each level, supporting scalable, maintainable testing up the pyramid

Amazing educational podcast

Looking forward to the first episodes!

Let's Gooooo!!!!!